Total runs:
16.8K
Run Growth:
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Growth Rate:
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Sponsored by
APIMart
AesSedai / MiniMax-M3-GGUF
Model's Last Updated: August 04 2026
Introduction of MiniMax-M3-GGUF
Model Details of MiniMax-M3-GGUF
This repo contains specialized MoE-quants for MiniMaxAI/MiniMax-M3. The idea being that given the huge size of the FFN tensors compared to the rest of the tensors in the model, it should be possible to achieve a better quality while keeping the overall size of the entire model smaller compared to a similar naive quantization. To that end, the quantization type default is kept in high quality and the FFN UP + FFN GATE tensors are quanted down along with the FFN DOWN tensors.
Additionally, I've provided a
J-Space lens
in the
lens/
folder, trained on ~128 text prompts.
| Quant | Size | Mixture | PPL | 1-(Mean PPL(Q)/PPL(base)) | KLD |
|---|---|---|---|---|---|
| Q8_0 | 421.84 GiB (8.50 BPW) | Q8_0 | 5.202737 ± 0.034827 | +0.3357% | 0.030136 ± 0.000884 |
| Q5_K_M | 295.20 GiB (5.95 BPW) | Q8_0 / Q5_K / Q5_K / Q6_K | 5.218907 ± 0.034969 | +0.6475% | 0.041986 ± 0.001016 |
| Q4_K_M | 246.11 GiB (4.96 BPW) | Q8_0 / Q4_K / Q4_K / Q5_K | 5.282848 ± 0.035408 | +1.8807% | 0.068863 ± 0.000982 |
| IQ4_XS | 189.12 GiB (3.81 BPW) | Q6_K / IQ3_S / IQ3_S / IQ4_XS | 5.657391 ± 0.038606 | +9.1038% | 0.151112 ± 0.001437 |
| IQ3_S | 148.04 GiB (2.98 BPW) | Q6_K / IQ2_S / IQ2_S / IQ3_S | 6.417468 ± 0.044920 | +23.7620% | 0.321256 ± 0.002052 |
| IQ2_S | 134.01 GiB (2.70 BPW) | Q6_K / IQ2_XS / IQ2_XS / IQ3_XXS | 6.636852 ± 0.046125 | +27.9929% | 0.397892 ± 0.002336 |
Runs of AesSedai MiniMax-M3-GGUF on huggingface.co
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24-hour runs
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30-day runs
More Information About MiniMax-M3-GGUF huggingface.co Model
Url of MiniMax-M3-GGUF
MiniMax-M3-GGUF huggingface.co Url
Provider of MiniMax-M3-GGUF huggingface.co
Other API from AesSedai
Updated:October 09 2025
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